45 citations · 83 across the 43 of their papers we have counts for
5 papers · 1 filter
Sampling of Correlated Bandlimited Continuous Signals by Joint Time-vertex Graph Fourier Transform
Zhongyi Ni, Feng Ji, Hang Sheng +2
When sampling multiple signals, the correlation between the signals can be exploited to reduce the overall number of samples. In this paper, we study the sampling theory of multipl…
On semi shift invariant graph filters
Feng Ji, See Hian Lee, Wee Peng Tay
In graph signal processing, one of the most important subjects is the study of filters, i.e., linear transformations that capture relations between graph signals. One of the most i…
SGAT: Simplicial Graph Attention Network
See Hian Lee, Feng Ji, Wee Peng Tay
Heterogeneous graphs have multiple node and edge types and are semantically richer than homogeneous graphs. To learn such complex semantics, many graph neural network approaches fo…
Abstract message passing and distributed graph signal processing
Feng Ji, Yiqi Lu, Wee Peng Tay +1
Graph signal processing is a framework to handle graph structured data. The fundamental concept is graph shift operator, giving rise to the graph Fourier transform. While the graph…
To further understand graph signals
Feng Ji, Wee Peng Tay
Graph signal processing (GSP) is a framework to analyze and process graph-structured data. Many research works focus on developing tools such as Graph Fourier transforms (GFT), fil…